With an increasingly technological improvement, sensors infrastructure actually supports many current and promising environmental applications. Environmental Monitoring Systems built on such sensors removes geographical, temporal and other restraints while increasing both the coverage and the quality of real world understanding. However, a main issue for such applications is the uncertainty of data coming from sensors, which may impact experts’ decisions. In this paper, the authors address this problem with an approach dedicated to provide environmental monitoring applications and users with data quality information.

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Part 3: Short PapersInternational audienceIn the last decade, technological improvement on sensors increasingly motivates the use of sensor data in numerous application domains such as environmental, health, transportation, etc. Progressively, with the advances on user terminals, there is a strong trend towards interactive sensor data visualization. As viewing raw sensor data stored in multiple databases does not specially fulfill user requirements, data visualization raises challenges about supporting users to easily use and handle sensor data. In this paper, we address this particular subject with an extensible visualization and interaction platform. Within this platform, we provide developers the facility to experiment and validate multiple visualizations for sensor data, specially based sensor data properties and users’ requirements. We illustrate our platform with a medical study case focused on ECG data visualization

Actually, the evaluation of matching tools is an entire, complex and complicated research subject which we are interested in. Complex because matching systems can regroup several matching techniques and complicated considering their multiple users. Considering quality as an important element to define, use and evolve particular systems (as information and manufacturing systems), we extend traditional approaches and we propose an evaluation approach based on software product quality principles. In this paper, we offer an evaluation method based on a quality model (characteristics, sub-characteristics, measures…) adapted to the specificities of scalable matching tools. To illustrate our approach, we provide some evaluation results over two scalable matching tools COMA++ and PLASMA. D.2.10.h [Quality analysis and evaluation]; H.2.1.c [Database integration]I.

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